run your own
private ai.
Start with the job you need to finish: choose a tool, install a local stack, protect a regulated workflow, or build durable agent memory. Every guide names the next action.
Tinkerers and developers who want to set up local AI on their own machine.
Get private AI set up → Private AI for TeamsAccounting, law, clinics, financial advisors, and other document-heavy teams.
Run a free AI audit → Plain-English BasicsPeople asking what local AI, private AI, and "does ChatGPT use water" actually mean.
See how it works → ComparisonsPeople comparing local AI tools, models, and cloud vs local for real work.
Get private AI set up →Set up local AI on your own machine.
own your alpha, not just your privacy
This week the biggest voices in tech said out loud what we've been building: don't hand your data and your edge to a frontier lab that can compete with you. Here's the consumer version of that idea, and why it starts with your AI's memory.
Get private AI set up →your ai's memory is either verified or prayed for
Introducing homestead-memory: open-source, local-first AI memory that catches rot, tampering, and poisoning. Plain markdown you own, a 0-100 integrity score, and benchmark numbers you can actually reproduce.
Get private AI set up →How to Keep Memory Across Claude, Codex, and OpenCode Without Losing Your Mind
Every harness switch resets state. Here's the local-first pattern — Obsidian vault, qmd retrieval, handoff files — that lets Claude, Codex, Claude Code, and OpenCode read the same canonical context.
Get private AI set up →Cloud-Burst Your Local Agent Without Leaking Context
Running heavy agent work on rented GPU is fine. Letting your vault, project state, and provider keys leak through a poorly-architected cloud burst is not. Here's the git-worktree + branch-separation pattern that keeps the boundary clean.
Get private AI set up →Claude Limit Workaround: Keep the Work Moving With a Local-First Agent OS
What to do when Claude or Codex hits a usage limit: preserve memory, switch harnesses, and route routine work to local/free models without restarting the workflow.
Get private AI set up →Private AI for document-heavy teams.
Private AI for Accounting Firms
How accounting firms can use private AI for client files, prior returns, notices, memos, and internal SOPs without relying on unmanaged public AI tools.
Run a free AI audit →AI Egress Audit Checklist
A practical checklist for finding where sensitive company data leaves your control through ChatGPT, Claude, Gemini, Copilot, and other AI tools.
Run a free AI audit →Local AI for Regulated Companies
How regulated companies can adopt local AI without turning privacy, compliance, and employee adoption into separate problems.
Run a free AI audit →Private LLM Stack for Law Firms
A practical private LLM architecture for law firms that need AI assistance without spraying privileged material into unmanaged tools.
Run a free AI audit →Plain answers to the questions everyone asks.
Which tool, which model, cloud vs local.
Fuck Big Tech vs Ollama: What Is the Difference?
Ollama runs local models. Fuck Big Tech is the memory, routing, benchmark, and guardrail layer that decides when local models should be used.
Get private AI set up →Fuck Big Tech vs OpenCode Manual Routing
OpenCode is an agent harness. Manual routing is a habit. Fuck Big Tech is the shared memory, policy, and telemetry layer around both.
See how it works →ChatGPT Enterprise Alternatives for Teams That Need Local AI
A comparison of ChatGPT Enterprise alternatives for companies that need private AI, local models, self-hosted RAG, and better control over sensitive data.
Run a free AI audit →Best Local AI Tools for Business in 2026
A practical shortlist of local AI tools for teams that need private chat, self-hosted RAG, model testing, and fewer uncontrolled data egress paths.
Get private AI set up →Ollama vs LM Studio vs Jan vs AnythingLLM
A practical comparison of Ollama, LM Studio, Jan, and AnythingLLM for teams evaluating local AI tools and private LLM workflows.
Get private AI set up →